Iowa Caucuses, do your DataOps

by | Feb 4, 2020 | Blog, DataOps Principles

Everyone has heard by now that there is an issue with counting the ballots in the Iowa Democratic presidential caucuses.  It’s all over the news.

2020-02-04_14-30-17

What we just learned is that the reporting system, not the app they created, is the source of the errors.

I know we have all been there. A team works hard to integrate and report on data from various applications, and then you find out it’s WRONG. I get a pit in my stomach just thinking of the times it has happened to me. Now imagine you are in charge of that Iowa team, and your ETL coding error is worldwide front-page news.

This is a common failure pattern in data analytic systems.

That’s why we formed DataKitchen. To help teams not find embarrassing errors in production reports and then stress everyone to fix the problem while your customers watch and roll their eyes.

The Iowa Caucus problem is one of the best reasons to do #DataOps. We all want to avoid writing an email to the entire world that says: “We have determined that this was due to a coding issue in the reporting system.”

https://www.thecaucuses.org/results-update

#IowaCaucuses do your #DataOps

All the best,
Christopher Bergh, CEO and Head Chef DataKitchen

Sign-Up for our Newsletter

Get the latest straight into your inbox

Data Observability Software

DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Enterprise]

DataOps TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Enterprise]

DataOps Software

DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]

recipes for dataops success

DataKitchen Consulting Services


Assessments

Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Pharma Agile Data Warehouse

Get trusted data and fast changes from your warehouse

 

dataops-cookbook-download

DataOps Learning and Background Resources


DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
Thirty thousand signatures can't be wrong!

 

DataKitchen Basics


About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts

Careers

Come join us!

Contact

How to connect with DataKitchen

 

DataKitchen News


Newsroom

Hear the latest from DataKitchen

Events

See DataKitchen live!

Partners

See how partners are using our Products

 

Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.